Features | Generated by Eircodex v1.0.0
This feature implements the core algorithm that generates personalized physical activity suggestions for children and youth based on multiple contextual factors. It dynamically adapts recommendations according to the user's location, current season, weather conditions, and available equipment. The algorithm also plans to incorporate user preferences and historical activity data to improve relevance over time. By providing tailored, actionable activity ideas, it removes decision paralysis and motivates users to engage in physical exercise more frequently.
The algorithm is designed to support a wide range of activities, from simple home exercises to outdoor activities involving BUA equipment, ensuring inclusivity and accessibility.
This feature delivers an interactive visual activity wheel that displays a variety of physical activities with images and descriptions. The wheel serves as the primary user interface for the activity dice, allowing users to spin and receive randomized activity suggestions. It is designed to be engaging and intuitive for children and youth aged 6-18, supporting use on mobile devices, tablets, and desktop browsers. The UI includes clear, age-appropriate instructions and safety guidelines for each activity.
It also visually adapts to reflect seasonal changes and available equipment, enhancing user experience and relevance.
This feature encompasses the technical integration of the activity dice solution into the existing BUA.no platform. It ensures seamless access for users both at home via mobile devices and on-site at lending centers using iPads or similar devices. The integration includes authentication, data exchange, and UI embedding within BUA.no's ecosystem. It also involves coordination with BUA's backend systems to synchronize equipment availability and user interaction data.
This integration is vital to leverage BUA.no's existing user base and infrastructure, providing a unified experience and facilitating data-driven insights.
This feature implements mechanisms for collecting, managing, and analyzing user feedback related to the activity dice. It includes in-app prompts for users to rate activities, provide comments, and report issues. The system aggregates feedback data to identify popular activities, usability challenges, and areas for improvement. Feedback from children and youth, as well as lending center staff, is captured to inform iterative development and content updates.
This feature supports continuous engagement by showing users that their input shapes the service, fostering a sense of ownership and community.
This feature focuses on capturing and analyzing quantitative data on how users interact with the activity dice. It tracks metrics such as number of spins, activities completed, session duration, and equipment usage patterns. The analytics system aggregates data to provide insights into user behavior, engagement levels, and the effectiveness of activity suggestions. This information supports evaluation of project goals, including increases in physical activity and equipment lending.
The analytics also enable segmentation by demographics and location to tailor future enhancements.
This feature provides tools and processes for managing the library of physical activities presented by the dice. It includes content creation, categorization, editing, and review workflows to ensure activities are age-appropriate, safe, and engaging. Quality assurance involves validation by sports and movement experts to maintain high standards. The system supports updates to activity descriptions, images, and safety instructions, as well as seasonal and equipment-based filtering.
This ensures that the content remains fresh, relevant, and trustworthy for users.
This feature ensures that the activity dice solution complies with GDPR and other relevant data protection regulations. It encompasses secure data handling practices, anonymization of user data, consent management, and protection against unauthorized access. The feature also includes implementation of privacy-by-design principles throughout the system architecture. No sensitive personal data is stored, and all data processing is transparent to users.
Regular security audits and updates are planned to maintain compliance and safeguard user trust.